Quantification of growth and motion using non-rigid registration

D. Rueckert, R. Chandrashekara, P. Aljabar*, K. K. Bhatia, J. P. Boardman, L. Srinivasan, M. A. Rutherford, L. E. Dyet, A. D. Edwards, J. V. Hajnal, R. Mohiaddin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of temporal changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.

Original languageEnglish
Title of host publicationCOMPUTER VISION APPROACHES TO MEDICAL IMAGE ANALYSIS
EditorsRR Beichel
PublisherSpringer-Verlag Berlin Heidelberg
Pages49-60
Number of pages12
ISBN (Print)3-540-46257-0
Publication statusPublished - 2006
EventComputer Vision Approaches to Medical Image Analysis Workshop - Graz, Austria
Duration: 12 May 2006 → …

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume4241
ISSN (Print)0302-9743

Conference

ConferenceComputer Vision Approaches to Medical Image Analysis Workshop
Country/TerritoryAustria
CityGraz
Period12/05/06 → …

Keywords / Materials (for Non-textual outputs)

  • B-SPLINE SURFACES
  • TAGGED MR-IMAGES
  • SPATIAL MODULATION
  • MYOCARDIAL MOTION
  • DEFORMATIONS
  • HEART
  • TRACKING
  • DISEASE
  • MAGNETIZATION
  • ONSET

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